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01.Clinical Applications of Artificial Intelligence—An Updated Overview

人工智能的临床应用——最新概述

https://www.mdpi.com/2077-0383/13/3/831

02.Exploring the Impact of Glycemic Control on Diabetic Retinopathy: Emerging Models and Prognostic Implications

探索血糖控制在糖尿病视网膜病变中的影响：新兴模型和预后意义

https://www.mdpi.com/2077-0383/11/8/2265

03.Validation of an Automated Artificial Intelligence Algorithm for the Quantification of Major OCT Parameters in Diabetic Macular Edema

验证用于量化糖尿病性黄斑水肿主要OCT参数的自动人工智能算法

https://www.mdpi.com/2077-0383/12/6/2134

04.Periapical Lesions in Panoramic Radiography and CBCT Imaging—Assessment of AI's Diagnostic Accuracy

全景放射线摄影和CBCT成像中的牙周病变——AI诊断的准确性评估

https://www.mdpi.com/2077-0383/13/9/2709

05.How Radiomics Can Improve Breast Cancer Diagnosis and Treatment

放射组学如何改善乳腺癌的诊断和治疗

https://www.mdpi.com/2077-0383/12/4/1372

06.Overview of Artificial Intelligence in Breast Cancer Medical Imaging

人工智能在乳腺癌成像中的概述

https://www.mdpi.com/2077-0383/12/2/419

07.Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis

脊柱损伤中的机器学习和深度学习：诊断和预后算法的叙述性回顾

https://www.mdpi.com/2077-0383/13/3/705

08.Diagnostic Image Quality of a Low-Field (0.55T) Knee MRI Protocol Using Deep Learning Image Reconstruction Compared with a Standard (1.5T) Knee MRI Protocol

使用深度学习对低场强0.55T MRI的膝关节扫描结果进行图像重建，并与1.5T MRI的膝关节扫描图像进行质量比较

https://www.mdpi.com/2077-0383/12/5/1916

09.An Artificial Intelligence Analysis of Electrocardiograms for the Clinical Diagnosis of Cardiovascular Diseases: A Narrative Review

用于心血管疾病临床诊断的心电图人工智能分析：一项叙述性综述

https://www.mdpi.com/2077-0383/13/4/1033

10.Artificial Intelligence (AI) versus POCUS Expert: A Validation Study of Three Automatic AI-Based, Real-Time, Hemodynamic Echocardiographic Assessment Tools

人工智能 (AI) 对比POCUS专家：三种基于AI的自动实时血流动力学超声心动图评估工具的验证研究

https://www.mdpi.com/2077-0383/12/4/1352

11.Application and Progress of Artificial Intelligence in Fetal Ultrasound

人工智能在胎儿超声中的应用和进展

https://www.mdpi.com/2077-0383/12/9/3298

12.Artificial Intelligence in Dermatology Image Analysis: Current Developments and Future Trends

皮肤科图像分析中的人工智能：当前发展和未来趋势

https://www.mdpi.com/2077-0383/11/22/6826

13.Artificial Intelligence-Based Approaches to Reflectance Confocal Microscopy Image Analysis in Dermatology

基于人工智能的皮肤科反射共聚焦显微镜 (RCM) 图像分析方法

https://www.mdpi.com/2077-0383/11/2/429

14.Using Artificial Intelligence to Predict Mechanical Ventilation Weaning Success in Patients with Respiratory Failure, Including Those with Acute Respiratory Distress Syndrome

利用人工智能预测呼吸衰竭患者 (包括急性呼吸窘迫综合征患者) 的机械通气撤机成功率

https://www.mdpi.com/2077-0383/13/5/1505

15.Predicting Safe Liver Resection Volume for Major Hepatectomy Using Artificial Intelligence

使用人工智能预测大范围肝切除术的安全切除体积

https://www.mdpi.com/2077-0383/13/2/381

JCM 期刊介绍：https://www.mdpi.com/journal/jcm

主编：Emmanuel Andrès, University Hospital of Strasbourg, France;

Kent Doi, University of Tokyo, Japan

主要发表所有临床及临床前研究方面的论文，涵盖但不限于心脏病学、胃肠病学和肝胰胆病学、临床神经病学、肿瘤学、骨科、内分泌与代谢、肾脏科和泌尿科、流行病学与公共卫生、口腔科、肺病学、眼科、妇产科、免疫学、血液学、临床心理学与精神病学、耳鼻喉科、皮肤科、临床药理学等研究领域。

2023 Impact Factor：3.0

2023 CiteScore：5.7

Time to First Decision：17.3 Days 

Acceptance to Publication：2.7 Days